We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
—Researchers in robotics and artificial intelligence have often looked at biology as a source of inspiration for solving their problems. From the opposite perspective, neuroscie...
Abstract--In business analysis, models are sometimes oversimplified. We pragmatically approach many problems with a single financial objective and include monetary values for non-m...
Charlotte J. C. Rietveld, Gijs P. Hendrix, Frank T...
— In this paper, we introduce robust cyclic space– frequency (CSF) filtering for systems combining bit–interleaved coded modulation (BICM) and orthogonal frequency division ...
Harry Z. B. Chen, Robert Schober, Wolfgang H. Gers...